Prof. Norman Fenton begins sustained Bayesian analysis of Letby case
Prof. Norman Fenton of Queen Mary University of London begins a sustained academic-blog series applying formal Bayesian network analysis to the Letby evidence. The series operationalises the Royal Statistical Society post-Sally-Clark framework into explicit prior/likelihood/posterior calculations. Conclusion: posterior probability of guilt does not meet the criminal-law beyond-reasonable-doubt threshold. The most detailed publicly-available Bayesian analysis of the Letby evidence.
Source: Prof. Norman Fenton probabilityandlaw.blogspot.com
The same thread
The nearest events this site records in the same category (new evidence). This site records 7 events in 2023.
- Clothier Inquiry Report on Beverley Allitt — the benchmark for direct-evidence NHS cluster cases17 February 1994
- Court of Appeal quashes Donna Anthony's conviction — the CCRC-referral precedent11 April 2005
- Bates v Post Office — High Court judgment on Horizon unreliability16 December 2019
- Schneps and Colmez publish 'Math on Trial'March 2013
- Joint Expert Witness Insulin Report on Babies F and L filedMay 2025
- Prof. Carl Heneghan and Prof. Ben Goldacre begin EBM critique of Letby evidenceNovember 2023